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awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

dccrn

implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

hifigan-denoiser

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

intelligibility-metricgan

Implementation for paper "iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning"

pagan

PAGAN: a phase-adapted GAN for speech enhancement

pystoi

Python implementation of the Short Term Objective Intelligibility measure

python-pesq

A python package for calculating the PESQ.

sasegan

Self-Attention Generative Adversarial Network for Speech Enhancement using Tensorflow 2

sasegan-1

segan

SegAN: Semantic Segmentation with Adversarial Learning

segan-1

Speech Enhancement Generative Adversarial Network in TensorFlow

segan-pytorch

SEGAN pytorch implementation https://arxiv.org/abs/1703.09452

segan_pytorch

Speech Enhancement Generative Adversarial Network in PyTorch

semetrics

Speech Enhancement Metrics (PESQ, CSIG, CBAK, COVL)

speechalgorithms

Speech Algorithms